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Edit at your own risk: evaluating the robustness of edited models to
  distribution shifts
v1v2 (latest)

Edit at your own risk: evaluating the robustness of edited models to distribution shifts

28 February 2023
Davis Brown
Charles Godfrey
Cody Nizinski
Jonathan Tu
Henry Kvinge
    KELM
ArXiv (abs)PDFHTML

Papers citing "Edit at your own risk: evaluating the robustness of edited models to distribution shifts"

8 / 8 papers shown
Title
Keys to Robust Edits: from Theoretical Insights to Practical Advances
Keys to Robust Edits: from Theoretical Insights to Practical AdvancesAnnual Meeting of the Association for Computational Linguistics (ACL), 2024
Jianhao Yan
Futing Wang
Yun Luo
Yafu Li
Yue Zhang
KELM
235
1
0
12 Oct 2024
Composable Interventions for Language Models
Composable Interventions for Language Models
Arinbjorn Kolbeinsson
Kyle O'Brien
Tianjin Huang
Shanghua Gao
Shiwei Liu
...
Anurag J. Vaidya
Faisal Mahmood
Marinka Zitnik
Tianlong Chen
Thomas Hartvigsen
KELMMU
465
4
0
09 Jul 2024
Fundamental Problems With Model Editing: How Should Rational Belief
  Revision Work in LLMs?
Fundamental Problems With Model Editing: How Should Rational Belief Revision Work in LLMs?
Peter Hase
Thomas Hofweber
Xiang Zhou
Elias Stengel-Eskin
Joey Tianyi Zhou
KELMLRM
259
20
0
27 Jun 2024
Beyond Individual Facts: Investigating Categorical Knowledge Locality of
  Taxonomy and Meronomy Concepts in GPT Models
Beyond Individual Facts: Investigating Categorical Knowledge Locality of Taxonomy and Meronomy Concepts in GPT Models
Christopher Burger
Yifan Hu
Thai Le
KELM
139
0
0
22 Jun 2024
InstructEdit: Instruction-based Knowledge Editing for Large Language
  Models
InstructEdit: Instruction-based Knowledge Editing for Large Language Models
Ningyu Zhang
Bo Tian
Siyuan Cheng
Xiaozhuan Liang
Yi Hu
Kouying Xue
Yanjie Gou
Xi Chen
Huajun Chen
KELM
162
10
0
25 Feb 2024
A Comprehensive Study of Knowledge Editing for Large Language Models
A Comprehensive Study of Knowledge Editing for Large Language Models
Ningyu Zhang
Yunzhi Yao
Bo Tian
Peng Wang
Shumin Deng
...
Lei Liang
Qing Cui
Xiao-Jun Zhu
Jun Zhou
Huajun Chen
KELM
425
123
0
02 Jan 2024
Trends in Integration of Knowledge and Large Language Models: A Survey
  and Taxonomy of Methods, Benchmarks, and Applications
Trends in Integration of Knowledge and Large Language Models: A Survey and Taxonomy of Methods, Benchmarks, and Applications
Zhangyin Feng
Weitao Ma
Weijiang Yu
Lei Huang
Haotian Wang
Qianglong Chen
Weihua Peng
Xiaocheng Feng
Bing Qin
Ting Liu
KELM
230
47
0
10 Nov 2023
How Do Large Language Models Capture the Ever-changing World Knowledge?
  A Review of Recent Advances
How Do Large Language Models Capture the Ever-changing World Knowledge? A Review of Recent AdvancesConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Zihan Zhang
Meng Fang
Lingxi Chen
Mohammad-Reza Namazi-Rad
Jun Wang
KELM
206
39
0
11 Oct 2023
1